Welcome to the Training and Placement Cell's Website of MBM Engineering College, Jodhpur . MBM Engineering College is one of the oldest engineering colleges in India.
Established on 15th August 1951 by the government of Rajasthan, the college boasts of its high academic & technical standards.
Considered as the pioneering Technical Institution of the State, it offers a gamut of courses both at PG and UG level. The college is committed to providing its students with an education that combines rigorous academic study and developing a far more ambitious, integrated and influential environment that will best serve the nation.
The Training and Placement Cell works ceaselessly to provide smooth communication between companies and student.
Our students spend over 3 months in industry as part of their Practical training. In addition to doing internships in reputed companies across India our students also actively participate in research projects at IIT Jodhpur and other institutes of national repute.
I extend you a heartly invitation to visit our campus for recruitment.
The Training and Placement Cell works ceaselessly to provide smooth communication between companies and student.
Our students spend over 3 months in industry as part of their Practical training. In addition to doing internships in reputed companies across India our students also actively participate in research projects at IIT Jodhpur and other institutes of national repute.
I extend you a heartly invitation to visit our campus for recruitment.
2015 MBM Site All Rights Reserved


|
Now in its 15th season the league management system for you |
|
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Why wait any longer? It's ready right now! football.mitoo 353 East Bonneville Ave. Las Vegas, 89101, NV Tel: 08000 119 843 Email: INSERT_EMAIL_ADDRESS_HERE Tried Trusted Tested by over 200 leagues and County FAs |
Check what it can do for your league. YES to all these ... |
|
"No thanks, we already have our own website" Many leagues use football.mitoo as well. The facility to automatically and instantly update league tables and grids on-line is really worth having. You'd be on the map with links pointing to both websites.
"I hate computers and the internet!" Get someone else on your league committee to try it. "Is it difficult to use?" No. It's so easy there's no instruction book. "Who can see the referees' marks or player registration information?" Only password holders can see sensitive information. Every league has its own database and password. "If I decide to give it a try, how long would it take to set up?" On average, less than a couple of hours. We'd do most of it for you. "Does it create a fixture list?" No. You'd do that in the same way you've been doing for years. football.mitoo creates an unscheduled list and checks that you don't double book a team on any match day. It also monitors the sequence and frequency of team pairings. "Does it handle knockout competitions?" Yes, with winning teams' names automatically promoted to the next round. "Can we have teams playing each other three or four times a season?" Yes. Or only once a season, if you like. "If a team drops out during the season can we expunge their results?" Yes. We'd do it for you and all results and marks would be saved in a Miscellaneous Division. |
"Can we have league tables with two points for a win?" Yes, and goal average if you like.
"You've been going for eight seasons. Do you have any references?" Yes. Please click here. "Will you put in our results for us?" No. You are responsible for this. You can enter all your match day results in one go using email and batch input. It takes only seconds. "If I change the name of a club will it appear with its new name everywhere on the website?" Yes. football.mitoo utilises a fully relational database system. "Can a player have several suspensions a season and is the system sensitive to the date ranges?" Yes. "Is it really free?" Yes "How come I've never heard of football.mitoo?" We do not advertise. Recommendations are by word of mouth. "Do you have a helpdesk?" Yes. 9 a.m. to 9 p.m. every day. Users rarely call, however. "Is it easy to add individual match reports?" Yes. "Will it handle Assistant Referees appointments and marks too?" Yes. "How does it handle an awarded game?" Just one mouse click gives the points to the home or away team. The goals for & against remain unchanged. "Our registered players and season's fixtures are already on a spreadsheet. Can we download from this?" Yes |


Project
The current research focus of the group is on some of the exciting and challenging applications of Machine Intelligence in the areas of Smart cities, Sustainable living and Bioinformatics.
-
Tox2020:
Toxicity Prediction of pre clinical trial drug using Physicochemical Properties and Machine Learning Approaches: The objective of the project is to develop better toxicity assessment features, methods and algorithms along with better data structures to handle the big data. To create new methods for assessing chemical toxicity which will have the potential to improve the procedure followed by scientists to evaluate environmental chemicals and develop new medicines.To develop a framework to quickly and efficiently test certain chemical compounds for their probable chances to disrupt processes in the human body.To develop a stand-alone and/or web-based application(s) that helps the researchers and research community to predict the toxicity of the newly discovered chemical compound.
Members: Prof. Deepak Garg, Dr. Prashant Rana (Thapar University)
-
Intelligent Detection of Biomolecular Spatiotemporal Modifications for Disease Aetiology and Epidemiology:
The research project has been conceptualized with a goal to use data science effectively for aetiology research in India. The research aims to use machine learning for prediction of gene expression levels and knowledge discovery methods, and come up with a dashboard to handle different tasks related to data science. Specific objectives include development of tools to quantitate epigenomic signatures and mapping the localized nature of protein modification, and correlation of epigenomic signatures and gene expression using the developed tools. We will also develop a framework of reporting to various stakeholders regarding the status of different desirable parameters for policy making and decision making.
Members: Prof. Deepak Garg, Dr. Pratik Narang, Dr. Souradyuti Ghosh
-
Tackling Cyber crime with Data science:
As the internet continues to grow and infiltrate every aspect of an individual's life, the security and crime related aspects of the cyber-world also show up their ugly face. Cyber bullying, Frauds, Cyber crime and other nefarious online activities regularly create headlines. Data science approaches and technologies can become the first line of defence which shall combine together text mining, machine learning and statistical approaches to provide security threat prediction, detection and prevention at an early stage. The objectives of the research project are to effectively detect and combat a variety of cyber crime issues such as cyber bullying, cyber predation, social media trolling, social media spam, etc. The research is envisioned to provide tools and software for use by an individual or a group which shall help them remain safe from such threats while performing their regular online activities.
Members: Dr. Pratik Narang
-
FANETs: Communication in the sky:
“Communication in the sky” is a trend because the increment of Unmanned Aerial Vehicles (UAVs) use in wireless communications. UAVs have diverse applications in civil and military domains. Swarm of UAV system is able to finish the operations more reliably than a single UAV. UAV system have rapidly changing topology due to high mobility devices. Currently, Mobile adhoc networks (MANETs) routing is used for communication in UAV networks, and the standards for communication system are yet to be developed. UAV system streaming information needs protocol with high bandwidth, high mobility, varying link stability and high energy consumption compare to adhoc networks. It leads to abruptly breaking communication in between UAV-to-UAV and UAV-to-ground. Hence to overcome link breakage, stability in the links is required for the duration of next route establishment. We explore the link stability issue in UAV communication systems. Link stability is required for reliable communication.
Members: Dr. Gaurav Singal
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Computational Biology:
Developing improved knowledge discovery techniques based on Machine Learning and Soft Computing tools specially Multi-objective optimization algorithms, fuzzy theory, Support Vector Machine etc. and applying the techniques for analyzing biological data such as transcriptomics data (e.g. microarray mRNA/microRNA expression data, RNA-Seq data) in order to unveil potential biological processes, genetic markers and reveal transcriptional regulatory mechanisms involved in the development of certain cell types such as cardiomyocytes, etc., progression of diseases such as breast cancer, etc. Identifying such genetic markers may provide new insights into therapeutic targets in diseases.
Members: Dr. Anirban Bhar
-
Genetic Programming for the detection of Epilepsy:
The Human Brain is the most complex and magnificent organ in the human body, and as a matter of fact, it is so complicated that it remains an exhilarating frontier. In short, the brain serves as the seat of human consciousness and dictates the behaviors that enable us to survive. Epilepsy, sometimes called seizure disorder, is a neurological condition that substantiates itself as a susceptibility to seizures. It is essential to have a method for the automatic detection of epileptic seizures, as these seizures are arbitrary and unpredictable. A profound study of the electroencephalogram (EEG) recordings is required for the accurate detection of these epileptic seizures. The scientific objectives with in the proposed study that involves systematically extracting the features from an EEG signals, a scalable two-stage feature selection, and construction Genetic Programming algorithm that classifies the EEG signals.
Members: Dr. Arpit Bhardwaj
-
Biometrics for Infant Verification with Liveness Detection (BIONEST):
The BIONEST project aims to develop a reliable infrastructure for establishing the identity of new born infants and managing it to facilitate a robust biometric identification. The project aims to identify the reliable biometric characteristic for establishing the identity of the infant, and employ the video captured using smartphone in a non-intrusive and contactless manner to determine the liveness by estimating the vitals of the infant. The third component of this project is aimed at developing the privacy preserving techniques for infant biometrics. This is a joint project proposal between IIT-BHU, Bennett University and NTNU Norway.
Members: Dr. Rishav Singh


[1]
Cheap, text-to-speech, handy integrated mount; no expansion slot, no bluetooth
[2]
Navigation generally works well; Horrible name pronunciation, some mistakes


Germany crush Northern Ireland with Gnabry hat-trick to top group
Serge Gnabry scored a hat-trick as already-qualified Germany came from a goal down to crush Northern Ireland 6-1 in their final Euro 2020 qualifier on Tuesday and finish top of Group C.
FRANKFURT, Germany: Serge Gnabry scored a hat-trick as already-qualified Germany came from a goal down to crush Northern Ireland 6-1 in their final Euro 2020 qualifier on Tuesday and finish top of Group C.
Gnabry cancelled out Michael Smith's eighth-minute shock lead with a fine turn and shot in the 19th minute. He then drilled in their third straight after the restart following Leon Goretzka's 43rd minute goal that had put the Germans ahead.
The 24-year-old winger then completed his hat-trick on the hour to take his tally to an impressive 13 goals in 13 internationals before Goretzka fired in from 20 metres to crown his own fine performance.
Julian Brandt completed the rout in stoppage time and the Germans, who had already made sure of their spot in next year's tournament with Saturday's 4-0 win over Belarus, finished on 21 points, two ahead of second-placed Netherlands.
(Reporting by Karolos Grohmann; Editing by Christian Radnedge)


Day 15. We’re sitting amid a small cluster of dining tables in the main plaza of Burgos, sipping on wine and eating tapas. The patrons and pilgrims look happy, the cathedral towers above us. I look up and wonder, is there such a thing as a good goodbye?
M looks content and tells her squirrel joke again. I try to listen, but my attention has been seized by the fact that she is leaving tonight. I take a sip of wine, and we continue talking. S – a pilgrim from Czech we had met some days ago – is with us. He reminds me of a winter wolf. His hair is white like snow with hints of dark gray. He’s observant and quiet. Does M notice the way he looks at her? Or how I do too?
…
S and I book a hostel. We want to have one night away from the congested albergues of the Camino. We drop our things off and go to dinner at our favorite restaurant – the one with the Falafel – with M.
S goes to the bathroom, and I give M the bus note I had written for her in the morning. We replay every scene and memory of days passed. She rests her head on my shoulder and we sit in silence, wishing for the coming of tomorrow to cease its advance.
Suddenly M sees our tall Texan friend, Stefan, walking across the middle of the plaza. And at his sides were Matilde and Franca!
We sprint toward the lovable Germans, screaming their names in unison. I hurl myself onto Franca and give her the biggest hug of my life, nearly knocking over an elderly couple in the process. Their timing could be no more perfect.
…
9pm. We’re in the bus station. M is leaving soon. I have her listen to “Soul Meets Body” by Death Cab for Cutie. S is standing a few meters away from us, searching for the bus, as if he were the one leaving. Maybe he’s giving M and I some space. Earlier, he had said that he didn’t do goodbyes well. Does anyone?
The bus arrives. M and I embrace. Time bends.
To our sentimental whims. To our refusal to let go the present.
It bends because we have not accepted a future in which we will be nothing more than a memory, a firing of indifferent, constantly reforming neurons.
It bends because we are fighting for the ineffable, for something so palpably insatiable, for what I have felt for the first time in my life: love.
It bends because we will not.
The bus parks. People are hailed over. We let go. She boards. I look at her one last time. She looks back. The hint of a smile creeps over her like a foreign facade.
The engine comes to life, and the bus is wheeled into the dim tunnel.
Time reclaims its throne.
She’s gone.
…
By some convergence of chance and choice, M and I met and walked together on the Camino for two weeks. Those weeks were some of the best in my life. Her energy and zest were unmatchable. Every blackberry she ate, every sip of coffee she had, every conversation we held was something to be cherished. She taught me that only by giving oneself up to life could it be fully lived.
“If you’re sad, feel sad. Happy, feel happy. Whatever it is, don’t push it away.”
“Having emotions just means you’re alive!”
To her life was a privilege, not a birthright, and she embraced it with every ounce of her being.
One week in, she told me I had become her best friend. Now, I won’t lie: when she said that, I started imagining all kinds of romantic fantasies and happy endings between us.
“Hey children, your ol’ Gramps met this lovely lady 35 years ago while walking across Spain! It was destiny!”
“Yeah, cool story bro, but I met my wife on the Camino.”
To her, my insecurities, fears, and struggles were valid parts of me, yet in comparison to my strengths as a human, they were wholly insignificant. She awed at and encouraged my child-like curiosity, the way I saw the world, and the purity of being she believed me to possess. “You have something special to give to the world.” She was relentless in her attempts of making me believe in myself. I did. I do.
When she left, I didn’t feel sad – in fact, oddly, I felt happy. Not because she was gone, but because we had both grown. Because she had found what she was searching for. And because I was able to let go of my Camino soulmate, or so I believed.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Un-including.20an.20include.html ---
If include blah
occurs in my current namespace, is there a way to make a special definition which doesn't take blah
as an argument?
omit blah
and then reinclude
awesome cheers!
how about turning a list α
into an expr
?
I think reflect
is what you want?
Sweet!
Has anyone ever gotten the error VM does not have code for 'xyz.abc'
after trying to use something they environment.add
ed?
The only time I get that error is when I've accidentally used theorem
to make a definition
it turned out to be a really obscure problem, where if you call user_attribute.get_param with someone who doesn't have the attribute set, the vm un-gracefully shoots you down without a catchable fail
If this ever comes up for anyone else, environment.add
is a little messed up if you want to later add attributes
Instead use tactic.add_decl
(both are implemented in C++)
it turned out to be a really obscure problem, where if you call user_attribute.get_param with someone who doesn't have the attribute set, the vm un-gracefully shoots you down without a catchable
fail
Are you sure? get_param
has issues because it uses eval_expr
which is kind of broken. Try get_param_untyped
instead to see if it crashes uglily, still
Last updated: Apr 24 2020 at 19:02 UTC


Previous: Alphanumeric Characters, Up: Character Categories
What qualifies as a digit depends on the radix (an integer between 2 and 36, inclusive). The potential digits are:
0 1 2 3 4 5 6 7 8 9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Their respective weights are 0, 1, 2, ... 35. In any given radix n, only the first n potential digits are considered to be digits. For example, the digits in radix 2 are 0 and 1, the digits in radix 10 are 0 through 9, and the digits in radix 16 are 0 through F.
Case is not significant in digits; for example, in radix 16, both F and f are digits with weight 15.


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Interacts with the open-source, public 'Ethereum' <https://www.ethereum.org/> blockchain. It provides a distributed computing platform via smart contracts. This package provides functions which interrogate blocks and transactions in the 'Ethereum' blockchain.
| Version: | 0.1.5 |
| Imports: | dplyr, httr, jsonlite, Rmpfr |
| Suggests: | testthat |
| Published: | 2018-09-22 |
| Author: | Andrew Collier [aut, cre] |
| Maintainer: | Andrew Collier <andrew at exegetic.biz> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ether results |
| Reference manual: | ether.pdf |
| Package source: | ether_0.1.5.tar.gz |
| Windows binaries: | r-devel: ether_0.1.5.zip, r-release: ether_0.1.5.zip, r-oldrel: ether_0.1.5.zip |
| OS X binaries: | r-release: ether_0.1.5.tgz, r-oldrel: ether_0.1.5.tgz |
| Old sources: | ether archive |
Please use the canonical form https://CRAN.R-project.org/package=ether to link to this page.


Trader Lara:
Poor Ismel... He didn't even get a proper burial... Such an upstanding person... how could he have turned into an undead? So strange! Do you suppose that it has something to do with the jewelry?


When you have selected three words that relate to the same lexical domain, a new page will appear.
recommencer
douane


Class: Aws::MachineLearning::Types::MLModel
| Inherits: |
Struct
|
| Defined in: |
(unknown) |
Overview
Represents the output of a GetMLModel
operation.
The content consists of the detailed metadata and the current status of the MLModel
.
Instance Attribute Summary collapse
-
#algorithm ⇒ String
The algorithm used to train the
MLModel
. -
#compute_time ⇒ Integer
Long integer type that is a 64-bit signed number.
-
#created_at ⇒ Time
The time that the
MLModel
was created. -
#created_by_iam_user ⇒ String
The AWS user account from which the
MLModel
was created. -
#endpoint_info ⇒ Types::RealtimeEndpointInfo
The current endpoint of the
MLModel
. -
#finished_at ⇒ Time
A timestamp represented in epoch time.
-
#input_data_location_s3 ⇒ String
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
-
#last_updated_at ⇒ Time
The time of the most recent edit to the
MLModel
. -
#message ⇒ String
A description of the most recent details about accessing the
MLModel
. -
#ml_model_id ⇒ String
The ID assigned to the
MLModel
at creation. -
#ml_model_type ⇒ String
Identifies the
MLModel
category. -
#name ⇒ String
A user-supplied name or description of the
MLModel
. -
#score_threshold ⇒ Float
-
#score_threshold_last_updated_at ⇒ Time
The time of the most recent edit to the
ScoreThreshold
. -
#size_in_bytes ⇒ Integer
Long integer type that is a 64-bit signed number.
-
#started_at ⇒ Time
A timestamp represented in epoch time.
-
#status ⇒ String
The current status of an
MLModel
. -
#training_data_source_id ⇒ String
The ID of the training
DataSource
. -
#training_parameters ⇒ Hash<String,String>
A list of the training parameters in the
MLModel
.
Instance Attribute Details
#algorithm ⇒ String
The algorithm used to train the MLModel
. The following algorithm is
supported:
SGD
-- Stochastic gradient descent. The goal ofSGD
is to minimize the gradient of the loss function.Possible values:
- sgd
#compute_time ⇒ Integer
Long integer type that is a 64-bit signed number.
#created_at ⇒ Time
The time that the MLModel
was created. The time is expressed in epoch
time.
#created_by_iam_user ⇒ String
The AWS user account from which the MLModel
was created. The account
type can be either an AWS root account or an AWS Identity and Access
Management (IAM) user account.
#endpoint_info ⇒ Types::RealtimeEndpointInfo
The current endpoint of the MLModel
.
#finished_at ⇒ Time
A timestamp represented in epoch time.
#input_data_location_s3 ⇒ String
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
#last_updated_at ⇒ Time
The time of the most recent edit to the MLModel
. The time is expressed
in epoch time.
#message ⇒ String
A description of the most recent details about accessing the MLModel
.
#ml_model_id ⇒ String
The ID assigned to the MLModel
at creation.
#ml_model_type ⇒ String
Identifies the MLModel
category. The following are the available
types:
REGRESSION
- Produces a numeric result. For example, \"What price should a house be listed at?\"BINARY
- Produces one of two possible results. For example, \"Is this a child-friendly web site?\".MULTICLASS
- Produces one of several possible results. For example, \"Is this a HIGH-, LOW-, or MEDIUM<?oxy_delete author=\"annbech\" timestamp=\"20160328T175050-0700\" content=\" \"><?oxy_insert_start author=\"annbech\" timestamp=\"20160328T175050-0700\">-<?oxy_insert_end>risk trade?\".Possible values:
- REGRESSION
- BINARY
- MULTICLASS
#name ⇒ String
A user-supplied name or description of the MLModel
.
#score_threshold ⇒ Float
#score_threshold_last_updated_at ⇒ Time
The time of the most recent edit to the ScoreThreshold
. The time is
expressed in epoch time.
#size_in_bytes ⇒ Integer
Long integer type that is a 64-bit signed number.
#started_at ⇒ Time
A timestamp represented in epoch time.
#status ⇒ String
The current status of an MLModel
. This element can have one of the
following values:
PENDING
- Amazon Machine Learning (Amazon ML) submitted a request to create anMLModel
.INPROGRESS
- The creation process is underway.FAILED
- The request to create anMLModel
didn\'t run to completion. The model isn\'t usable.COMPLETED
- The creation process completed successfully.DELETED
- TheMLModel
is marked as deleted. It isn\'t usable.Possible values:
- PENDING
- INPROGRESS
- FAILED
- COMPLETED
- DELETED
#training_data_source_id ⇒ String
The ID of the training DataSource
. The CreateMLModel
operation uses
the TrainingDataSourceId
.
#training_parameters ⇒ Hash<String,String>
A list of the training parameters in the MLModel
. The list is
implemented as a map of key-value pairs.
The following is the current set of training parameters:
sgd.maxMLModelSizeInBytes
- The maximum allowed size of the model. Depending on the input data, the size of the model might affect its performance.The value is an integer that ranges from
100000
to2147483648
. The default value is33554432
.sgd.maxPasses
- The number of times that the training process traverses the observations to build theMLModel
. The value is an integer that ranges from1
to10000
. The default value is10
.sgd.shuffleType
- Whether Amazon ML shuffles the training data. Shuffling the data improves a model\'s ability to find the optimal solution for a variety of data types. The valid values areauto
andnone
. The default value isnone
.sgd.l1RegularizationAmount
- The coefficient regularization L1 norm, which controls overfitting the data by penalizing large coefficients. This parameter tends to drive coefficients to zero, resulting in sparse feature set. If you use this parameter, start by specifying a small value, such as1.0E-08
.The value is a double that ranges from
0
toMAX_DOUBLE
. The default is to not use L1 normalization. This parameter can\'t be used whenL2
is specified. Use this parameter sparingly.sgd.l2RegularizationAmount
- The coefficient regularization L2 norm, which controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, start by specifying a small value, such as1.0E-08
.The value is a double that ranges from
0
toMAX_DOUBLE
. The default is to not use L2 normalization. This parameter can\'t be used whenL1
is specified. Use this parameter sparingly.


|
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
DesignGridLayout
is a revolutionary LayoutManager
for
Swing applications, based on "canonical grids", well-known in publishing.
See:
Description
| Interface Summary | |
|---|---|
| IBarRow | Any row created by DesignGridLayout.row().bar() implements this
interface. |
| IGridRow | Any row created by DesignGridLayout.row().grid() implements this
interface. |
| IHideable | Any row created by DesignGridLayout implements this minimal
interface. |
| INonGridRow | Any row created by one of DesignGridLayout.row().left() ,
DesignGridLayout.row().center() or DesignGridLayout.row().right()
implements this interface. |
| IRow | Any row created by DesignGridLayout implements this minimal
interface. |
| IRowCreator | Interface returned by DesignGridLayout.row() in order to specify the
type of row to be actually added to the current layout (grid, centered, left-
or right-aligned). |
| ISpannableGridRow | Rows created by DesignGridLayout.row().grid() and
DesignGridLayout.row().grid(JLabel) implement this interface. |
| ISubGridStarter | This interface is used to start a new canonical grid row (when called from
DesignGridLayout.row() ), or to start a new canonical sub-grid in the
current grid row (when called from IGridRow ). |
| Class Summary | |
|---|---|
| DesignGridLayout | Swing LayoutManager that implements "Canonical Grids" as used by graphic artists to design magazines, posters, forms... |
| DesignGridLayoutManager | The actual LayoutManager created and installed by DesignGridLayout
on a Container . |
| RowGroup | This class is used to group several rows from a layout, in order to show or hide them all in a single call. |
| Enum Summary | |
|---|---|
| LabelAlignment | Defines how components located in a sub-grid label column can be aligned inside this column. |
| Tag | Tag that can be assigned to a JComponent (normally a JButton ) so
that DesignGridLayout know where to locate it in an IBarRow , based on the
UI guidelines for the current platform. |
DesignGridLayout
is a revolutionary LayoutManager
for
Swing applications, based on "canonical grids", well-known in publishing.
public class MyPanel extends JPanel { public MyPanel() { DesignGridLayout layout = new DesignGridLayout(this); layout.row().grid(labelA).add(fieldA); layout.row().grid(labelB).add(fieldB); //... layout.row().bar().add(okButton, Tag.OK).add(cancelButton, Tag.CANCEL); } private JLabel labelA = new JLabel("aaa"); private JTextField fieldA = new JTextField(); private JLabel labelB = new JLabel("bbb"); private JTextField fieldB = new JTextField(); //... private JButton okButton = new JButton("OK"); private JButton cancelButton = new JButton("Cancel"); }As you can see in this example, each row of components in the panel can be set through one single line of source code. Each component is added from left to right (except for the last rows which is special). Labels (when created with
ISubGridStarter.grid(javax.swing.JLabel)
)
have a special treatment: they are automatically right-aligned and the
label column in the panel has constant width.
All gaps between components and between components and panel borders are
automatically calculated by DesignGridLayout according to the current
installed LookAndFeel: no need to hardcode anything!
DesignGridLayout offers 5 types of rows:
fill()
is
used (see below))fill()
is used (see below))fill()
is used (see below))Tag
,
which DesignGridLayout uses to determine the correct position of each
button based on the current platform. In this row, thus, components are
not located in the same order as they are addedlayout.row().left().fill().add(new JLabel("Group"), new JSeparator());DesignGridLayout allows you to add empty rows with a height that is automatically calculated (depending on the current installed Look & Feel), in order to introduce some space in your layout (e.g. to separate different groups of logically related items):
layout.row().grid().add(...); layout.emptyRow(); layout.row().bar().add(new JButton("OK"), Tag.OK).add(new JButton("Cancel"), Tag.CANCEL);In grid rows (added by calling
DesignGridLayout.row().grid()
), you
may specify that a given component spans several columns, this way, you can
ensure that fields that require longer input occupy enough space to render
this input, compared with shorter fields):
layout.row().grid().add(new JTextField(), new JTextField()); layout.row().grid().add(new JTextField(), 2).add(new JTextField()); layout.row().grid().add(new JTextField()).empty();In this snippet, the first row has two short text fields on two columns (one per field); the second row has one long text field (on two columns) and one short text field (on one column). For any Grid Row, the number of columns is normally defined by the number of added components in the row, components being counted as many times as their associated span (when explicitly specified). Note however, that you can also introduce empty columns in such a row:
layout.row().grid().empty().add(new JTextField()).empty(2);This code creates a row with four columns, but only the second contains a real component.
ISubGridStarter.grid()
methods, then
all components added to this sub-grid (by one of the several
IGridRow#add()
methods) will
be part of the sub-grid:
layout.row().grid(label1).add(field1, field2).grid(label3).add(field3, field4); layout.row().grid(label5).add(field5) .grid() .add(field6);In this snippet, there are two rows and two sub-grids; in the first sub-grid, there are 3 components,
field1
, field2
, field5
, in
addition to labels label1
and label5
; the second sub-grid
contains 3 components, field3
, field4
, field6
, and
one label label5
; note that the second sub-grid in the second row
has no label.
To handle multiple sub-grids, special processing occurs in DesignGridLayout:
grid()
among all
rows of the layout). Note that this calculus is a bit more complex because
it also accounts for gridspan
s specified when starting a sub-grid).gridspan
to specify that it
will span several sub-grids of the other rows. If you don't specify any
gridspan
when starting a new sub-grid, then this sub-grid will
automatically span all space on its right unless another call to a
grid()
method occurs in the same row:
layout.row().grid(label1).add(field1, field2).grid(label3).add(field3); layout.row().grid(label4).add(field4);In this snippet, there are 2 rows and 2 sub-grids; the first sub-grid in the second row (
field4
) spans the whole width of the form. If you want
the same layout but don't want field4
to span the second sub-grid,
then you can write:
layout.row().grid(label1) .add(field1, field2).grid(label3).add(field3); layout.row().grid(label4, 1).add(field4);If you want more details about this feature, you can look at the API documentation for
ISubGridStarter
.
layout.row().grid(...)
).
The way to use it is quite straightforward, you define a first row as usual:
layout.row().grid(label1).add(field1).add(list);Then on the next row, you specify which grid column will "share" the same component as the first row (that component will thus span row 2):
layout.row().grid(label2).add(field2).spanRow();Please note the use of
spanRow()
(instead of add(...)
) to
specify that we want the matching component in the previous row to span this
row.
This feature is described in further details in the API documentation of
ISpannableGridRow.spanRow()
.
There are some limitations in the use of spanRow()
that, unfortunately,
are not detectable at compile-time. When you mistakenly call spanRow()
in an impossible layout situation, DesignGridLayout will not throw any
Exception at run-time, but will replace your calls to spanRow()
by
a special marker component: a "spanRow()" label with red background
and a tooltip describing the problem further.
DesignGridLayout
|
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


I'm currently a junior at Northern Arizona Univeristy, studying
Applied Computer Sciences. My sklls include Java, C, Python,
and standard web development. I also have experience in
assembly, MATLAB, SQL, Kotlin, and Swift. As far as spoken
languages go I have beginner knowledge of Modern Standard Arabic
and an intermediate knowledge of Spanish (South America). My
interests include cyber security, articial intelligence and neural
networks, and deep learning. Outside of software engineering I
am an avid triathlete, and mountain biker.


{% extends 'layout.html' %} {% block pageTitle %} State Pension Activation {% endblock %} {% block content %} {% include 'includes/parts/phase-banner.html' %} Country {{stepOn}} of {{data.steps}} {{country}} When did you live here? From Month Year To< To Put the current month and year if you live in this country. Month Year Have you lived here on another occasion? Yes No {% include 'includes/parts/helpinternational.html' %} {% endblock %} {% block pageScripts %} {% include 'includes/scripts/country-dates-focus.html' %} {% endblock %}
Put the current month and year if you live in this country.


with Jose-Luis Peydro; Review of Financial Studies, 2011, Vol 24, 4, 1337-1377.
with Manju Puri; American Economic Review, 2012, Vol 102, 4, 1414-1445.
Google Earth file for viewing depositor runs available
with Jose Luis Peydro, Samuel lopes and Antoinette Schoar; Review of Financial Studies, 2014.
with Antoinette Schoar; American Economic Review, P&P, 2015.
with Asim Khwaja, Kelly Shue and Asim Khwaja, Kelly Shue and Erzo Luttmer; Management Science, 2016.
with Manju Puri and Nick Ryan; Journal of Finance, 2016.
with Puriya Abbassi, Jose Luis Peydro and Francesc Tous; Journal of Financial Economics, 2016.
with Zacharius Sautner; Review of Economics and Statistics, 2018
with Thais Jensen, Niels Johannesen and Adam Sheridan; Review of Financial Studies, 2019
with Nittai Bergman and Richard Thakor, Review of Financial Studies, 2020
with Rustom Irani, Ralf Meisenzahl and Jose-Luis Peydro, Review of Financial Studies, 2021
with Puriya Abbassi, Jose-Luis Peydro and Paul Soto, Forthcoming, Management Science.
with Antoinette Schoar; NBER Conference Volume.
with Shohini Kundu and Nikos Paltalidis.
with Asger Lau Andersen, Niels Johannesen, Mia Jørgensen and Jose-Luis Peydro.
with Goldman Jim and Ramana Nanda.
with Sotirios Kokas, Alexander Michaelides and Jose-Luis Peydro.
with Antoinette Schoar.
with Antoinette Schoar.


The Vedas are the religious texts which inform the religion of Hinduism,
.The term veda means “knowledge” in that they are thought to contain the
fundamental knowledge relating to the underlying cause of, function of, and
personal response to existence.
There are inscriptions on stones and copper, palm leaf records and our
scriptures as evidences of the historic origins of learning in India
The system focused on the moral, physical, spiritual and intellectual
aspects of life
Vikramashila was one of the two most important centres of learning in
India during the Pala Empire, along with Nalanda. Its location is now
the site of Antichak village, Bhagalpur district in Bihar


|
ReactPhysics3D
0.8.0
C++ Physics engine library
|
#include <Set.h>
Public Types | |
| using | value_type = V |
| using | difference_type = std::ptrdiff_t |
| using | pointer = V * |
| using | reference = V & |
| using | iterator_category = std::forward_iterator_tag |
Public Member Functions | |
| Iterator ()=default | |
| Constructor. | |
| Iterator (const Entry *entries, int capacity, int nbUsedEntries, int currentEntry) | |
| Constructor. | |
| Iterator (const Iterator &it) | |
| Copy constructor. | |
| reference | operator* () const |
| Deferencable. | |
| pointer | operator-> () const |
| Deferencable. | |
| Iterator & | operator++ () |
| Post increment (it++) | |
| Iterator | operator++ (int) |
| Pre increment (++it) | |
| bool | operator== (const Iterator &iterator) const |
| Equality operator (it == end()) | |
| bool | operator!= (const Iterator &iterator) const |
| Inequality operator (it != end()) | |
Class Iterator.
This class represents an iterator for the Set


| FIGURE 1 |
Map of Chiredzi showing location of Chilonga Ward (7). |
| FIGURE 2 |
Marital statuses of respondents. |
| FIGURE 3 |
Educational qualifications. |
| FIGURE 4 |
Chiredzi rainfall time series. |
| FIGURE 5 |
Food availability, access, utilisation and stability of supp ... |
| FIGURE 6 |
Sources of household income. |
| FIGURE 7 |
Crops that are grown in Chilonga Ward. |
| FIGURE 8 |
Adaptation strategies in Chilonga Ward. |
| FIGURE 9 |
Cassava production in Chilonga Ward. |
| FIGURE 10 |
Cultivation and processing of cassava. |


Scrawl.js
- demonstration 204
CSS3 animation in a Scrawl stack <div> using two <canvas> elements
Extensions: images, stacks, animation
Scenario:
???
Actions:
???
Known browser issues:
???
Result images:


Global events are bound via hello.on(eventname, handler)
.
Triggered per network, whenever a user logs in, or opens a page within the same origin with a valid session.
Triggered per network, whenever a user logs out.
Call hello.init
last, otherwise the on-page-load events will not fire.


Reports comparisons (== and !=) of expressions, which cannot be of the same type.
==
!=
Example:
1 == "test"


Bubble Galaxy is a generative sound experience. In Bubble Galaxy, each Bubble is on a mission to separate itself from most of the other Bubbles.
Bubbles make sounds when they get too close to each other (at a distance relative to the size of your web browser). The tones that play are spread across four keys of increasing frequency, based on the root tone (controlled by the tone slider). Each key features the same set of intervals of its root, but the root can be an octave, fourth, or fifth above the root tone.
Bubble Galaxy was created by Chris Schnaars. Please get in touch with any questions, problems, or feedback. You can find more info on Bubble Galaxy at Github and more generative sound tools here.


Home
Inventory
Shopping List
Recipe Finder
Settings
Golub's Fridge Home
×
[Expired Milk]
Time to clean out the milk cartons. It has been 2 weeks since we purchased.
×
[Reminder]
You are nearing completion for insulin. Last purchased: 03/12/2021.
Sunday, March 28, 2021
Washington D.C.
52°


URGENT RESPONSE NEEDED FROM: BRIAN SMITH Dear friend, I am Brian Smith Esq, my client is one of the top Managers of Midland Bank London Branch and his colleague in the same bank here in the United Kingdom have an urgentand very confidential business proposition for you. On June 6th, 2001, a Chinese business man, Mr.CHOW LIU, deposited in his personal safety deposit vault currency valued at £17,500,000.00 (Seventeen Million, Five Hundred Thousand British Pound Sterling) in my client's branch. Upon expiration of the period of leasehold of his safety deposit vault two years ago, my client sent a routine notification to his forwarding address but got no reply. Some months ago, a reminder was sent and finally it was discovered he had passed away. On further investigation, it was discovered that he did not leave a WILL and all attempts to trace his next of kin were fruitless. Further investigations revealed that Mr. CHOW LIU did not declare any next-of- kin in all his official documents in my clients' bank. This sum of £17,500,000.00 is still in the Vault which was opened and the keys changed upon the expiration of the period of leaseholdby myclients. Consequently, my proposal is that myclients will like you as a foreigner to stand in as the next of kin to Mr. CHOW LIU. This is simple. I will like you to provide me immediately with your full names and address so that by virtue of my position as an attorney, I will prepare the necessary documents and affidavits, which will put you in place as the next of kin. I shall do the drafting and notarization of the WILL and obtain the necessary documents and letter of probate/administration in your favor form the shipment of the funds through a courrier company to you. The money will be shipped by courier to you for us to share in the ratio of 80% for me and my clients and 20% for you. I hope that is okay. There is no risk at all as all the paperwork for this transaction will be done by me as an attorney and the position of my client as the Branch Manager guarantees the successful execution of this transaction. If you areinterested, please reply immediately via email:-<EMAIL_ADDRESS>If on the other hand you are not interested please disregard this mail and I will not contact you again. Upon your response, I shall then provide you with my phone number, more details of the transaction and the relevant documents that will help you understand. Please observe utmost confidentiality and be restassured that this transaction would be most profitable for all of us. Best regards, Brian Smith (Esq).


This is a larger sister island to Providencia and much busier being a major holiday destination for mainland Colombians.
Position 12° 34' 84"N, 81° 41'93" W (marina)
Full details on the formalities required for clearing into and out of Colombia can be found at Colombia Formalities.
For a list of agents see Clearance Agents.
Remember, an agent is required to clear into and out of Colombia, so no attempt at contacting the Port Captain should be made, except through your nominated clearing agent (Agencia Maritima) on arrival.
Clearance formalities must be completed even if coming from mainland Colombia. Visas are issued on arrival for 30 to 90 days depending on nationality.
Customs and Immigration will come to the marina.
The Coastguard patrol the harbour on a regular basis.
Useful website: www.sanandres.com
Spare parts can be imported without tax if using "yacht in transit" feature.
Last updated April 2015.
There is quite good protection in the anchorage here, however if winds reach 20+ knots from the East or SE it will get a bit bumpy.The anchorage is north of a small island of Cotton Cay. Most of this anchorage is filled up with fishing boats on moorings, but there is space to anchor to at the east end of the anchorage, just off Nene's Marina. The anchorage can get very busy in the afternoons with jet skis and taxi boats - Providencia is quieter.
An alternative anchorage is north-east of Cotton Cay, just off the San Andres Yacht Club (12°34.67N 81°41.55W). To reach it you must go round to the south of Cotton Cay.
There are not many places to leave your dinghy because most of the shore line appears to be private and is fenced off. You can leave your dinghy at Nene's Marina or the Yacht Club for weekly fee per person (non-negotiable).
Provisioning is limited here. Fuel is available from Nene's Marina or do a jerry jug run from the fuel dock.
Last updated April 2015.
Visiting yachts may anchor off and use the facilities of the San Andrés Yacht Club if the fee is paid for temporary membership.


Tusday, December 18
Office
2018
Action Required
Recipient
Server Congestion
Retype the recipient's address, then resend the message - If you're using Outlook, open this non-delivery report message and click Send Again. In Outlook on the web, select this message, and then click the "Send Again" link located just below the message preview.
Was this helpful? Send feedback to Microsoft


SoftUni
Welcome to SoftUni.

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I am already a ninja


Trump Dispatched To Kentucky To Try To Save Embattled Governor
President Donald Trump will head to Kentucky to try to dig out the unpopular Gov. Matt Bevin (R), who is in the race of his life against state Attorney General Andy Beshear.
According to the Washington Post, Bevin has molded himself into a Trump doppelgänger, prompting fights with local teachers’ unions and state lawmakers.
Republicans worry that a Bevin loss may spark broader concerns about the party’s liability in 2020.
However, Beshear’s lead has narrowed in recent weeks, as the impeachment inquiry got underway and polarization skyrocketed.
Kentuckians will take to the polls Tuesday, November 5.


{% include head.html ogImage="http://bigalbumofbeers.com/img/cloud.png" %}
{% include nav.html %} {% include header.html %}
I've consumed {{site.data.quickStats.total}} different beers from {{site.data.quickStats.breweries}} breweries located in {{site.data.quickStats.countries}} countries over a period of {{site.data.quickStats.timeText}}
These stats are generated from 3 Facebook albums combined with extra data taken from Untappd. You can find the full data on Github


MY NEIGHBOR TOTORO A film review by Robert Plamondon Copyright 1993 Robert Plamondon
An animated feature film, written and directed by Hayao Miyazaki Rated G, 1:25 running time I give it four stars out of a possible five.
MY NEIGHBOR TOTORO is a charming children's film by Japan's leading animator, Hayao Miyazaki. Set in rural Japan in the 1950s, it is a story about two little girls and their father, who move into an old farmhouse and quickly discover that it is haunted. Later, they encounter Totoro, a giant, vaguely rabbit-like magical creature who lives in a hollow in the enormous camphor tree next door.
A series of delightful adventures ensue, from magical encounters with Totoro, to run-ins with the boy next door who loses the ability to speak in the presence of girls. Real-world concerns intrude heavily at times: the girls' father bought the country house to benefit their mother, who is recovering at a nearby hospital, presumably from tuberculosis. All these elements are woven tightly together in the movie.
One unusual element of the story is how the adults react to reports of magical creatures in the neighborhood. While it's a little hard to tell whether the adults REALLY believe in them, they all take reports of Totoros and Soot Sprites in perfect stride.  This accepting attitude towards traditional Japanese spirit-creatures may well represent an interesting difference between our two cultures.
Originally released in Japan in 1988, MY NEIGHBOR TOTORO has been competently (but not brilliantly) dubbed into English. (Many dubbed Japanese films have such bad voice acting that the films are painful to watch. TOTORO doesn't suffer from this problem.) The lip-synch is probably better than in the original Japanese.
Unlike the ultra-expensive, all-singing, all-dancing, effects-laden, weak-script extravaganzas put out by Disney recently, the film concentrates on story, characterization, and cinematography.
Disney, for example, wanted a wonderful ballroom scene in BEAUTY AND THE BEAST, and conveniently forgot that the castle was under a curse that changed its appearance to be gloomy and forbidding. Such deliberate errors, always present in recent Disney films, are conspicuously absent from Miyazaki's work. MY NEIGHBOR TOTORO hearkens back to an era of simpler, more honest Disney films, like 101 DALMATIONS.
Like 101 DALMATIONS, the animation in MY NEIGHBOR TOTORO is not as smooth or as detailed as recent Disney works, but it is a classic nonetheless.
When watching MY NEIGHBOR TOTORO in a theater, I was impressed at the way the kids in the audience were glued to the screen the entire time. Certain scenes, such as when Mei, the five-year-old girl, discovers pollywogs in a pond, brought smiles to the faces of the adults -- but shouts of excitement from the kids in the audience. Miyazaki has their number.
The wonderfully detailed characterizaton and the charming story make MY NEIGHBOR TOTORO a delight for adults as well.
-- Robert -- Robert Plamondon<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Donald Trump to change primary residence from New York to Florida
US President Donald Trump has said he will make Palm Beach in Florida his permanent residence after he leaves the White House, rather than returning to Trump Tower in New York.
Mr Trump said he cherished New York. But he added that “despite the fact that I pay millions of dollars in city, state and local taxes each year, I have been treated very badly by the political leaders of both the city and state”.
The New York Times reported earlier that Mr Trump had filed “declaration of domicile” paperwork changing his “predominant and principal home” to his Mar-a-Lago resort in Florida.
Mr Trump, who was born in New York, said it will “always have a special place in my heart!”.
READ MORE
Seven-year-old girl critically injured after Halloween shooting in Chicago


Nokia Lumia 820
GENERAL
| 2G Network | GSM 850 / 900 / 1800 / 1900 |
| 3G Network | HSDPA 850 / 900 / 1900 / 2100 |
| 4G Network | LTE 800 / 900 / 1800 / 2100 / 2600 |
| SIM | Micro-sim |
| Announced | 2012, September |
| Status | Available. Released 2012, November |
BODY |
|---|---|
| Dimensions | 123.8 x 68.5 x 9.9 mm, 83.5 cc (4.87 x 2.70 x 0.39 in) |
| Weight | 160 g (5.64 oz) |
DISPLAY |
| Type | AMOLED capacitive touchscreen, 16M colors |
| Size | 480 x 800 pixels, 4.3 inches (~217 ppi pixel density) |
| Multitouch | Yes |
SOUND |
| Alert Types | Vibration; MP3 ringtones, WAV ringtones |
| Loudspeaker | Yes |
| 3.5mm Jack | Yes - Dolby Headphone sound enhancement |
MEMORY |
| Card slot | microSD, up to 64 GB |
| Internal | 8 GB storage, 1 GB RAM |
FEATURES |
| OS | Microsoft Windows Phone 8 |
| Chipset | Qualcomm MSM8960 Snapdragon |
| CPU | Dual-core 1.5 GHz Krait |
| GPU | Adreno 225 |
| Sensors | Accelerometer, gyro, proximity, compass |
| Messaging | SMS (threaded view), MMS, Email, IM, Push Email |
| Browser | HTML5 |
| Radio | No |
| GPS | Yes, with A-GPS support and GLONASS |
| JAVA | No |
| Colors | Black, Gray, Red, Yellow, White, Blue, Violet |


A simple Web 3.0 stateless session bean with a local business interface invoked by servlet. Demonstrates the concept of dependency injection, a new feature in Java EE 6.


This section contains information about the thread that just crashed. If multiple threads crash at the same time, only one thread is printed.
The first part of the thread section shows the thread that provoked the fatal error, as shown in Example A-6.
Example A-6 Thread Section in the Error Log
Current thread (0x0805ac88): JavaThread "main" [_thread_in_native, id=21139] | | | | +-- ID | | | +------------- state | | +-------------------------- name | +------------------------------------ type +-------------------------------------------------- pointer
The thread pointer is the pointer to the Java VM internal thread structure. It is generally of no interest unless you are debugging a live Java VM or core file.
The following list shows possible thread types.
JavaThread
VMThread
CompilerThread
GCTaskThread
WatcherThread
ConcurrentMarkSweepThread
Table A-2 shows the important thread states.
Table A-2 Thread States
| Thread State | Description |
|---|---|
|
|
Thread is not created. This occurs only in the case of memory corruption. |
|
|
Thread has been created but it has not yet started. |
|
|
Thread is running native code. The error is probably a bug in native code. |
|
|
Thread is running VM code. |
|
|
Thread is running either interpreted or compiled Java code. |
|
|
Thread is blocked. |
|
|
If any of the above states is followed by the string |
The thread ID in the output is the native thread identifier.
If a Java thread is a daemon thread, then the string daemon is printed before the thread state.
The next information in the error log describes the unexpected signal that caused the VM to terminate. On a Windows system the output appears as shown in Example A-7.
Example A-7 Unexpected Signal Section in the Error Log
siginfo: ExceptionCode=0xc0000005, reading address 0xd8ffecf1
In the above example, the exception code is 0xc0000005
(ACCESS_VIOLATION
), and the exception occurred when the thread attempted to read address 0xd8ffecf1
.
On Oracle Solaris and Linux operating systems the signal number (si_signo
) and signal code (si_code
) are used to identify the exception, as follows:
siginfo:si_signo=11, si_errno=0, si_code=1, si_addr=0x00004321
The next information in the error log shows the register context at the time of the fatal error. The exact format of this output is processor-dependent. Example A-8 shows output for the Intel (IA32) processor.
Example A-8 Register Context in the Fatal Error
Registers: EAX=0x00004321, EBX=0x41779dc0, ECX=0x080b8d28, EDX=0x00000000 ESP=0xbfffc1e0, EBP=0xbfffc1f8, ESI=0x4a6b9278, EDI=0x0805ac88 EIP=0x417789d7, CR2=0x00004321, EFLAGS=0x00010216
The register values might be useful when combined with instructions, as described below.
After the register values, Example A-9 the error log that contains the top of stack followed by 32 bytes of instructions (opcodes) near the program counter (PC) when the system crashed. These opcodes can be decoded with a disassembler to produce the instructions around the location of the crash. Note: IA32 and AMD64 instructions are variable in length, and so it is not always possible to reliably decode instructions before the crash PC.
Example A-9 Top Stack in the Error Log
Top of Stack: (sp=0xbfffc1e0) 0xbfffc1e0: 00000000 00000000 0818d068 00000000 0xbfffc1f0: 00000044 4a6b9278 bfffd208 41778a10 0xbfffc200: 00004321 00000000 00000cd8 0818d328 0xbfffc210: 00000000 00000000 00000004 00000003 0xbfffc220: 00000000 4000c78c 00000004 00000000 0xbfffc230: 00000000 00000000 00180003 00000000 0xbfffc240: 42010322 417786ec 00000000 00000000 0xbfffc250: 4177864c 40045250 400131e8 00000000 Instructions: (pc=0x417789d7) 0x417789c7: ec 14 e8 72 ff ff ff 81 c3 f2 13 00 00 8b 45 08 0x417789d7: 0f b6 00 88 45 fb 8d 83 6f ee ff ff 89 04 24 e8
Where possible, the next output in the error log is the thread stack, as shown in Example A-10. This includes the addresses of the base and the top of the stack, the current stack pointer, and the amount of unused stack available to the thread. This is followed, where possible, by the stack frames, and up to 100 frames are printed. For C/C++ frames the library name may also be printed. Note: In some fatal error conditions the stack may be corrupt, and in such case this detail may not be available.
Example A-10 Thread Stack in the Error Log
Stack: [0x00040000,0x00080000), sp=0x0007f9f8, free space=254k Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code) V [jvm.dll+0x83d77] C [App.dll+0x1047] j Test.foo()V+0 j Test.main([Ljava/lang/String;)V+0 v ~StubRoutines::call_stub V [jvm.dll+0x80f13] V [jvm.dll+0xd3842] V [jvm.dll+0x80de4] C [java.exe+0x14c0] C [java.exe+0x64cd] C [kernel32.dll+0x214c7] Java frames: (J=compiled Java code, j=interpreted, Vv=VM code) j Test.foo()V+0 j Test.main([Ljava/lang/String;)V+0 v ~StubRoutines::call_stub
The log contains two thread stacks.
The first thread stack is Native frames
, which prints the native thread showing all function calls. However this thread stack does not take into account the Java methods that are inlined by the runtime compiler; if methods are inlined they appear to be part of the parent's stack frame.
The information in the thread stack for native frames provides important information about the cause of the crash. By analyzing the libraries in the list from the top down, you can generally determine which library might have caused the problem and report it to the appropriate organization responsible for that library.
The second thread stack is Java frames
, which prints the Java frames including the inlined methods, skipping the native frames. Depending on the crash it might not be possible to print the native thread stack but it might be possible to print the Java frames.
If the error occurred in the VM thread or in a compiler thread, then further details may be seen from Example A-11. For example, in the case of the VM thread, the VM operation is printed if the VM thread is executing a VM operation at the time of the fatal error. In the following output example, the compiler thread provoked the fatal error. The task is a compiler task and the HotSpot Client VM is compiling method hs101t004Thread.ackermann
.
Example A-11 VM Thread or Compile Thread in the Error Log
Current CompileTask: HotSpot Client Compiler:754 b nsk.jvmti.scenarios.hotswap.HS101.hs101t004Thread.ackermann(IJ)J (42 bytes)
For the HotSpot Server VM the output for the compiler task is slightly different but will also include the full class name and method.


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface Interpreter
A semantic bytecode interpreter. More precisely, this interpreter only
manages the computation of values from other values: it does not manage the
transfer of values to or from the stack, and to or from the local variables.
This separation allows a generic bytecode Analyzer
to work with
various semantic interpreters, without needing to duplicate the code to
simulate the transfer of values.
| Method Summary | |
|---|---|
Value |
binaryOperation(AbstractInsnNode insn,
Value value1,
Value value2)
Interprets a bytecode instruction with two arguments. |
Value |
copyOperation(AbstractInsnNode insn,
Value value)
Interprets a bytecode instruction that moves a value on the stack or to or from local variables. |
Value |
merge(Value v,
Value w)
Merges two values. |
Value |
naryOperation(AbstractInsnNode insn,
List values)
Interprets a bytecode instruction with a variable number of arguments. |
Value |
newOperation(AbstractInsnNode insn)
Interprets a bytecode instruction without arguments. |
Value |
newValue(Type type)
Creates a new value that represents the given type. |
Value |
ternaryOperation(AbstractInsnNode insn,
Value value1,
Value value2,
Value value3)
Interprets a bytecode instruction with three arguments. |
Value |
unaryOperation(AbstractInsnNode insn,
Value value)
Interprets a bytecode instruction with a single argument. |
| Method Detail |
|---|
Value newValue(Type type)
this
),
exception handler variable and with null
type
for variables reserved by long and double types.
type
- a primitive or reference type, or null to
represent an uninitialized value.
Value newOperation(AbstractInsnNode insn) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.
AnalyzerException
- if an error occured during the interpretation.Value copyOperation(AbstractInsnNode insn, Value value) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.value
- the value that must be moved by the instruction.
AnalyzerException
- if an error occured during the interpretation.Value unaryOperation(AbstractInsnNode insn, Value value) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.value
- the argument of the instruction to be interpreted.
AnalyzerException
- if an error occured during the interpretation.Value binaryOperation(AbstractInsnNode insn, Value value1, Value value2) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.value1
- the first argument of the instruction to be interpreted.value2
- the second argument of the instruction to be interpreted.
AnalyzerException
- if an error occured during the interpretation.Value ternaryOperation(AbstractInsnNode insn, Value value1, Value value2, Value value3) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.value1
- the first argument of the instruction to be interpreted.value2
- the second argument of the instruction to be interpreted.value3
- the third argument of the instruction to be interpreted.
AnalyzerException
- if an error occured during the interpretation.Value naryOperation(AbstractInsnNode insn, List values) throws AnalyzerException
insn
- the bytecode instruction to be interpreted.values
- the arguments of the instruction to be interpreted.
AnalyzerException
- if an error occured during the interpretation.Value merge(Value v, Value w)
v
- a value.w
- another value.
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


--- layout: post status: publish published: true title: VMworld 2010 - Closing General Session - Live Blog author: display_name: iguy login: iguy email<EMAIL_ADDRESS>url: '' author_login: iguy author_email<EMAIL_ADDRESS>wordpress_id: 514 wordpress_url: http://itsjustanotherlayer.com/?p=514 date: !binary |- MjAxMC0wOS0wMiAxMTowMjo1MiAtMDUwMA== date_gmt: !binary |- MjAxMC0wOS0wMiAxNjowMjo1MiAtMDUwMA== categories: - VMware tags: - vmworld comments: - id: 133 author: alfiesaden author_email<EMAIL_ADDRESS>author_url: '' date: !binary |- MjAxMi0wMS0wNCAwNDo1NTo1OSAtMDYwMA== date_gmt: !binary |- MjAxMi0wMS0wNCAxMDo1NTo1OSAtMDYwMA== content: ! "hi there - is it just me !! can any one explain why when i type in the firefox browser \"itsjustanotherlayer.com\" i get a different site yet whe i type it in google its ok? could this be a bug in my system or is any one else having same probs ? \nalf" ---
VMworld 2010 is coming to a close. This has been a very different ride than previous VMworlds in my experience.
This is a live blog posting.
Richard - Chief Marketing Officer
vTicket - The Golden Ticket - You will just have to wait and see what they win (must be present to win).
13,000 labs so far - over 150k VMs
Ron Davis took all 30 labs first (yes.. took all 30 labs available)
Innovation:
#1 Doing something new
Early on the Mainframe saw that they were severely under utilized and created virtualization.
#2 Changing the way things are done
VMware first started changing the way in 2001 in the datacenter
Update: 9:06am:
Discussion on the future of end user experience:
Pranav Mistry from the MIT Media Lab. Created Sixth Sense.
The question is when connecting devices (just a few) in a way to interact with the cloud (internet).
He created an interface to interact with the objects inside the computer. What about using paper? What about working in spatial?
The next way is making ordinary objects be able to interact with the cloud. How do we make interaction with computers simpler? Do we really care about computers or do we care about the information instead?
If we take the information out of the computers we can tie that information to the real world objects. We take and project those pixels then we can start interacting with them outside the computer. Say you have an airplane ticket, if a camera can take the information in, why can't it then check if the flight is on time and then display that information onto the ticket with a little projector.
http://www.pranavmistry.com/projects/sixthsense/
Update 9:25am:
Natan Linder - MIT Media Lab
Adding I/O to the real world. What if anywhere we have a plug/power we can interact with the Web? Project LuminAR. What if you plug a computer interface into a light socket that can respond to what your doing? Bring up a webpage/youtube about the book your currently reading and project it onto the desk your sitting at. Tie that in with a robot that can help you out based on your guestures and environment needs.
Update 9:35am:
Tan Le - Emotiv Systems
Brain computing interface. All communication with computers is specific commands. With humans there are many more layers of communication from feelings, emotions, facial experssions, experience. What if we can bring those data points into the computer?
The issue with brain computing is everyone's brain works a little bit differently. Emotiv has developed an algorithm to help this mapping. The second issue is the physical interface to be able to get the signals from a human head. This headset is cost manageable now.
Steve Herrod, What a great sport getting up on stage and using the Emotiv Headset for a live demostration. Incredible technology.
Closing: vTicket == Emotiv Headset
Update 3 Sep 2010: Fixed the pictures as they weren't showing up right.


[Erowid Note: Some authors report suspicions that their cannabis has been 'laced' (adulterated), in some cases presumably with PCP. While this is possible, readers should be aware that idiosyncratic response to the effects of cannabis (usually higher doses) can lead some users to presume their cannabis has been 'laced'. There is no way to know if the cannabis in the report below was adulterated or not.]
My friend and I were getting set up for a nice relaxing afternoon of just chilling and smoking. We made two gravity bongs that were really nice(both 2 liters). We bought a quarter of weed the night before and smoked some out of a bowl that night. We all felt the regular marijuana high. I think that the bud was lightly laced with pcp and we didn't smoke enough to feel it the night before.
So we each cleared the g-bong at least 15 times when suddenly the phone rang. I was feeling alright then.  When she was on her way over I was talking to my friend when I could hear someone vaugely behind me saying, 'Hey Ethan, Hey Ethan whats up man, hows it going.'(Ethan's my name). I turned around to see my friends dog. I tried to ignore that his dog was talking because thats not supposed to happen. It felt like I could hear the dogs thoughts and he wouldn't stop talking either. When this started happening I knew there was something else in the weed.
So, my mom shows up to pick me up and I get in the car. We don't talk much(major relief) because the football game's on the radio. As I'm sitting there, I can hear the car vents, mirrors, and it sounded like the commentators on the radio were all talking to me. Throughout my whole trip I could hear these voices in my head constantly saying 'Pretend its not there, Pretend its not happening, pretend they're not talking'. After about 10-15 minutes into the car ride a dog in the car in front of me was saying, 'Ethan! whats up man, you need a lift?'. I was thinking real hard to not say anything about anything on the car ride in fear of my mom, but no matter how hard I focused on not talking I felt like I was talking with my brain. At one point I was completely convinced that my mom knew I was high as shit, and I had to pretend not to be when I got home because I hallucinated an entire conversation with my mom using our minds. Five minutes after that I told myself it was impossible.
When I got home everyone was watching the football game. My step-dad wanted me to put some new songs on his i-pod, so I went downstairs to the computer. While I was down there, the recliner to my left kept saying over and over again, 'Man your really high!'. And once again the voices in my head told me repeatedly to pretend its not happening. My t.v. was also trying to talk to me. I think I was going deeper into the trip because in the bottom corner of my vision a little red man appeared, but not completely there. He was kinda see through but I could sense him.
 Everywhere I looked the red man seemed to stay in my vision, and whenever I looked at the computer screen I could see his face. I think he was saying, 'Hey Ethan, look at me man, look at me.', over and over again. After awhile I was convinced that I was experiencing a being from another dimension, so I actually yelled at 'the man' and told him he was really annoying and he should just stop.  Then I realized how crazed I probably looked yelling at nothing and such, so I decided to sleep it off.
When I layed down and closed my eyes I could see the mans face completely and fully. I still ignored him though. I actually sensed like 100%(Like he was a real person and most definitely there) that he was was walking circles around me, and I could feel him poking me.  When I opened my eyes everything was tinted with a light reddish color, and I looked down and my couch couschin seemed to extend for miles and miles, and I was afraid I was going to fall off. I went to go back to sleep after this, and when I closed my eyes my body was completely relaxed, but I felt as if i was being violently shaken up and down super fast. It felt kinda cool actually.
One thing I know is that the weed was definitely laced, and I made an educated guess that it was pcp cause I couldn't think of anything else I wouldn't have noticed. If it sounds like a drug thats not pcp let me know cause I'd like to know too.  Yep, so thats my story, hope ya enjoyed it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Katy Perry plans record-breaking show at women’s T20 final
by AFPAmerican popstar Katy Perry announced Wednesday she will be performing at the final of the Women’s Twenty20 World Cup in Melbourne next March before an expected record crowd on International Women’s Day.
“Aussie Aussie Aussie Oi Oi Oi!” Perry said in an Instagram post using the Australian sporting chant.
“Let’s break some records - join me in Melbourne on March 8, 2020 for the ICC @T20WorldCup Women’s Final. We’ll Roar in support of these awesome women on International Women’s Day!”
The International Cricket Council said Perry would perform both before and after the final in “what is anticipated to be the biggest women’s cricket match of all time.”
It said it was an opportunity to set a new world attendance record at a women’s sporting fixture.
The current record crowd of 90,185 was set at the 1999 FIFA Women’s World Cup final in Pasadena, California.


Hamaar
Home
Exercise 1
Exercise 2
Exercise 3
Contact
Exercise 2
https://github.com/Hamaar/Exercise-2


writers¶
geocoding.writers.
write_clf_space
(fpath, clf_name, best_params=None)[source]¶Writes clf_name classifier configuration in fpath. If best_params is given then writes the best performing configuration of clf_name.
- Parameters
fpath (str) – Path to write
clf_name (str) – Name of classifier to consider
best_params (dict, optional) – Has hyperparametrs as keys and the corresponding values as values
- Returns
None
geocoding.writers.
write_feats_space
(fpath)[source]¶Writes the features configuration in fpath.
- Parameters
fpath (str) – Path to write
- Returns
None
geocoding.writers.
write_predictions
(fpath, df, preds)[source]¶Creates a csv file to present the predictions (in (predicted label, score) pairs).
- Parameters
fpath (str) – File path to write
df (pandas.DataFrame) – Contains the data points to which the predictions refer to
preds (list) – Contains (predicted label, score) pairs
- Returns
None


Adelia Tripp
Democrat
Director of the Social Work Department , Colorado Mental Health Institute.
I have a Bachelors and Masters degree in Social Work (MSW). I am a Licensed Clinical Social Worker (LCSW).
81005
As the director of Social Work department my mission is many-fold. I am in the position to advocate for better working conditions and salaries for my staff, advocate for the patients to ensure their rights are not being violated and advocate for the patients’ social supports such that they are treated with dignity and respect when they call to see how their loved one is doing in our custody. I have been a member of Colorado WINS, where I took these issues and came up with a strategy to get a salary increase for Social Workers in the Colorado Department of Human Services (CDHS). I worked on this for 8 years without tiring, even though I would not get an increase myself. Because of my advocacy large salary increases came to all the Social Workers in the CDHS in July 2018! These were not regular raises but compression pay that raised the Social Workers pay to be competitive with the Department of Corrections and the private sector. I was on the Executive Steering Committee for the collaboration between employees at CMHIP and Executive management at CDHS for 4 years. Being elected to this committee by the employees at CMHIP gave me the opportunity and put me in a position to speak to executive staff at CDHS regarding the need for compression pay for the Social Workers.
I donate monthly to ActBlue, I have donated several times recently to the Biden/Harris campaign. I donate monthly to PushBlack and Colorado WINS/COPE. I have been a moderator for question and answer sessions of political candidates that wanted to be endorsed by Colorado WINS. I have also attended the legislative BBQ at the Colorado State Fair as a WINS representative.
I am a member of the NAACP, Colorado WINS, National Association of Social Workers, and Association of Black Social Workers. I am also a member of the Daughters of Promise a group of women who sing at different fundraisers and vigils for different causes, i.e., immigration, voting suppression and other current events/issues.
I would love to serve on the commission because I am passionate about equality, equity and justice. I am the kind of person that considers all sides and fairness is one of my core values. I have been able to use my skills at CMHIP with positive results for 10 years now; being on a committee where my work will have a positive effect on all Coloradoans and the citizens of the USA would be a dream come true!
This is exactly what the profession of Social Work does. Social Workers looks to right injustices, advocate for victims, community advocates for change. I have wanted to be a Social Worker since I was 5 years old, it's in my blood. As I stated in my statement above fairness is one of my core values. Though I am not applying for a Social Work position I believe my experience as a Social Worker makes me an excellent candidate for the commission.
One of my responsibilities as the director of the Social Work department is to ensure that every patient has a Social Worker per Centers for Medicaid/Medicare regulations. At one point the department was down 50% (14 staff) and I had to figure out how we were going to cover 494 patients with half of a department. I was able to implement a plan with the buy in of the Social Workers until we were able to hire more staff. The main reason for the loss of Social Workers was salary. Most of these Social Workers left CMHIP to work for the Veterans Administration because they offered a better salary and working conditions. The conclusion I came to was if we increased salaries to a competitive wage, we would have fewer resignations. Fewer resignations would be cost effective for the company because we would not be constantly spending money to train new staff. Being a member of the Executive Steering Committee representing CMHIP, I had to present issues in a way that the Executives at CDHS would be open to hearing the issues and the solutions provided. Being elected to this committee by the employees at CMHIP gave me the opportunity and put me in a position to speak to executive staff on a regular basis regarding the need for compression pay for the Social Workers. This was one of the last items CDHS supported in the legislature before their 2nd term was completed. Recruitment and retention have increased since compression pay was implemented with only 2 resignations in the last 2.5 years.
female


IO Module¶
SCOUT’s IO module is for reading and writing different volumetric image formats and preparing chunked arrays for processing. SCOUT makes use of TIFF and Zarr file formats throughout the analysis pipeline, and the this module is meant to consolidate these side-effecting IO operations.
-
scout.io.
imread
(path)¶ Reads TIFF file into a numpy array in memory.
Parameters: path (str) – Path to TIFF image to open Returns: image – Image array Return type: ndarray
-
scout.io.
imread_folder
(path, nb_workers)¶ Finds all TIFF images in a folder and loads them into a single array.
Note: all images must be the same shape to be able to stack them.
Parameters: - path (str) – Path to directory with TIFF images in alphabetical order
- nb_workers (int) – Number of parallel processes to use in reading images
Returns: data – Image array
Return type: ndarray
-
scout.io.
imread_parallel
(paths, nb_workers)¶ Reads TIFF files into a numpy array in memory.
Parameters: - paths (list) – A list of TIFF paths to read (order is preserved)
- nb_workers (int) – Number of parallel processes to use in reading images
Returns: data – Image data
Return type: ndarray
-
scout.io.
imsave
(path, data, compress=1)¶ Saves numpy array as a TIFF image.
Parameters: - path (str) – Path to TIFF image to create / overwrite
- data (ndarray) – Image data array
- compress (int) – Level of lossless TIFF compression (0-9)
-
scout.io.
new_zarr
(path, shape, chunks, dtype, in_memory=False, **kwargs)¶ Create new Zarr NestedDirectoryStore at path.
NOTE: Persistent Zarr arrays are stored on disk. To avoid data loss, be careful when calling new_zarr on a path with an existing array.
Parameters: - path (str) – Path to new zarr array
- shape (tuple) – Overall shape of the zarr array
- chunks (tuple) – Shape of each chunk for the zarr array
- dtype (str) – Data type of for the zarr array
- kwargs (dict) – Keyword args to passs to zarr.open()
Returns: arr – Reference to open zarr array
Return type: zarr Array
-
scout.io.
new_zarr_like
(path, arr, **kwargs)¶ Creates a new zarr array like arr.
Parameters: - path (str) – Path to new zarr array
- arr (zarr Array) – Reference to template zarr array
- kwargs (dict) – Keyword args to passs to zarr.open()
Returns: new_arr – Reference to new zarr array
Return type: zarr Array
-
scout.io.
open
(path, nested=True, mode='a')¶ Opens a persistent Zarr array or NestedDirectoryStore located at path.
Parameters: - path (str) – Path to Zarr array or NestedDirectoryStore
- nested (bool) – Flag to indicate if path is for flat Zarr array or NestedDirectoryStore
- mode (str) – Read / write permissions mode
Returns: arr – Reference to open Zarr array
Return type: zarr Array


Aim:
The objective is to construct a wired or a wireless, manually controlled bot that can attack, immobilize or throw out the opponent's bot in one on one competition.
Team Specification:
A team can consist of maximum of 4 participants. Every team should have a unique name.
Arena:
Bot Specifications:
- The dimensions of the bot should not be exceeding (50cm)*(50cm)*(50cm).
- The weight of the bot should not exceed 15 kg, including all hydraulics and on-board circuits, etc.
Mobility:
Rolling (wheels, tracks , castor wheels, etc.) or Walking using linear actuated legs are ALLOWED.
Control requirements:
For wired machines:
- The teams which are using wired controlled bot must have adapter as per their requirement but not exceeding 36V DC acroos any two terminals.
For wireless machines:
- The teams must have at least four channel wireless remote control circuit or two dual control circuits which may be interchanged before the start of match to avoid frequency
interference with other teams. The case of any interference in the wireless systems will not be considered for rematch.
- Remote control systems from readymade toys should not be used.
Power Source:
- The electric voltage between 2 points anywhere in the machine should not be more than 36V DC at any point of time.
- No AC source should be used at any point on the bot.
For Wireless bots:
- All efforts must be made to protect battery terminals from a direct short and causing a battery fire, failure to do so will cause direct disqualification.
- Battery will not be allowed to change during the match.
Weapons:
Allowed:
- Cutters, blades, saws and spinning hammers(wire cutting is allowed) , Magnetic weapons, flippers, lifting devices.
- Hydraulics can be used for lifting purposes with entire hydraulic setup should be on-board, no external input (from outside the arena) can be given to the robot for functioning of its hydraulic system.
-
Not Allowed:
- Any kind of inflammable/corrosive fluid, Liquid projectiles, Flame based weapons. Any kind of explosive or intentionally ignited solid or potentially ignitable solid.
- Nets, tape, glue, or any other entanglement device.
- Radio jamming, tazers , tesla coils, or any other high-voltage device.
Gameplay:
- Tournament will be in the form of league which will lead to semi-finals and finals.
- Fixtures and duration of each match will be decided on the spot depending on number of teams and time constraints.
- Point allocation will not be disclosed leading to any disputes but it is assured that point allocation will be fair and without any discrimination.
Criteria for victory:
- A bot is declared victorious in that particular match if its opponent is immobilized and the match will be finished at that point of time.
- A bot is declared immobilized if it cannot display any kind of linear motion of one inch for a time period of 30 seconds. A bot with one side of its drive train disabled will not be counted out if it can demonstrate some degree of controlled movement. In case both the robots remain mobile after the end of the round then the winner will be decided subjectively.
- If a robot is thrown out of the arena that particular match will stop immediately, and the robot still inside the arena will automatically be declared as the winner for that match.
- Robots cannot win by pinning or lifting their opponents. Organizers will allow pinning or lifting for a maximum of 25 seconds per pin/lift then the attacker robot will be instructed to release the
opponent, If, after being instructed to do so, the attacker bot is not able to release its opponent, their robot may be disqualified.
- If two or more robots become entangled or a crushing or gripping weapon is employed and becomes trapped within another robot, then the competitors should make the timekeeper aware, the fight should be stopped and the robots separated by the safest means.
- Points will be given on the basis of aggression, damage, control and strategy.
- If a bot is deemed unsafe by the judges or if it damages arena in any form, it will be immediately disqualified. The match will be immediately halted and opponent will be declared winner.
- Qualification of a bot to next level is subjective and totally on the decision of the judges. A bot winning in a round against its opponent doesn�t guarantee its entrance into the next round. If the judges found the winner bot incompetent to enter into the next round, it may get disqualified. Judges can disqualify both the bots of a match from advancing to the next round. All the decisions taken by the judges will be final and binding to all. Any queries afterwards will not be entertained.
Safety Rules:
- Special care should be taken to protect the on-board batteries, bot without proper protection will not be allowed to compete.
- If you have a bot or weapon design that does not fit within the categories set forth in these rules or is in some way ambiguous or borderline, please contact the event organizers. Safe
innovation is always encouraged, but surprising the organizers with your brilliant exploitation of a loophole may cause your robot to be disqualified before it even competes.
- All weapons must have a safety cover on any sharp edges.
- Any kind of activity (repairing, battery handling, etc.) which may cause damage to the surroundings during the stay of the teams in the competition area should not be carried out without consent of organizers. Not following this rule may result in disqualification.


The package performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.
| Version: | 1.0.4 |
| Depends: | R (≥ 2.7.2), leaps, survival |
| Published: | 2012-10-30 |
| Author: | Michal Juraska, with contributions from Peter B. Gilbert, Xiaomin Lu, Min Zhang, Marie Davidian, and Anastasios A. Tsiatis |
| Maintainer: | Michal Juraska <mjuraska at u.washington.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | ClinicalTrials |
| CRAN checks: | speff2trial results |
| Reference manual: | speff2trial.pdf |
| Package source: | speff2trial_1.0.4.tar.gz |
| Windows binaries: | r-devel: speff2trial_1.0.4.zip, r-release: speff2trial_1.0.4.zip, r-oldrel: speff2trial_1.0.4.zip |
| OS X binaries: | r-release: speff2trial_1.0.4.tgz, r-oldrel: speff2trial_1.0.4.tgz |
| Old sources: | speff2trial archive |
Please use the canonical form https://CRAN.R-project.org/package=speff2trial to link to this page.


Scope is Javascript's way of placing limitations on variables. These poor innocent variables think they are unique and that they can do anything and be anything. But once Javascript makes these variables local, they are limited and another version of the same variable can exist in a different function locally. It's not right.
Global variables can be accessed from anywhere, although there can be multiple versions of that variable getting modified by different functions. I think. That may actually be wrong but hopefully it isn't.
Local variables are only accessible within the function they are contained in, although sub-functions can access it too. I see it as a bubble where the main js file is a bubble where global variables exist, but if
you want to put the variable inside another bubble - a function - you can. And a variable can be accessed in smaller bubbles but can't escape into outer bubbles. I'm gonna save this analogy for job interviews.
There are also block level variables if you use let instead of var to declare your variable or function. Basically everything I just wrote you can replace the word variable with function and it still applies hopefully. I don't know enough about Javascript to assert that with full confidence.


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--- layout: payment --- Cart Information Payment
Gengar - Pokemon
$75.00
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Pay only for what you use.Pay only for what you use.Pay only for what you use.Pay only for what you use.
| Particular (above free quota) | Pricing per Month |
|---|---|
| Monthly Active Users (MAU) | US$ {{user.r.r_mau}} per MAU per month |
| Messages/day | US$ {{user.r.r_msg}} per month for {{user.r.v_msg}}K messages/day |
| Concurrent Users (Connections)* | {{user.q.q_conn}}% of MAU |
MAU : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Messages per Day : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Concurrent Users : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Min. Billing : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
MAU : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Messages per Day : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Concurrent Users : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.
Min. Billing : 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit. 2000 User limit , 50 Connection Limit, 50 Million Messages/Month, 10GB Cloud Storage Limit.


Enter your mobile number to install Tipp application. After you take first trip will add 100 credits to you and your friend.


This sample shows, how to use dynatree as a navigation menu.
A custom url
attribute is added to the node data
and set as src
for the embedded <iframe>.
The [Toggle tree] button in the embedded welcome page also gives an example on
how to access a tree that exists outside the own frame.
|
|
jquery.dynatree.js project home Link to this page Example Browser View source code


Welcome to Roma
Start
Home
Attractions
Monuments
Cuisine
Practical info
Guide
The Vaticane
Contact
Monuments and object "not to miss" :)
The Colosseum
The Pantheon
Forum Romanum
the most amazing Squares and Fountains
...
these are only few of these places you can't miss during your trip in Rome.
Click here to find out more
Contact me


TV Isn’t Dead – It’s Just Inactive
16 Apr 2015 tagged inLast week , we discussed our relationships with television. Is it dead? How does it fit into our lives? Does it matter?
These are big questions, and I came to this conclusion: TV is not dead, it’s just inactive.
In my family home, we doesn’t really _watch _television – we have it on as background noise as we go about our day. Out of any of us, it’s probably my mother and stepfather who watch TV the most. He normally watches live events like Sunday football, or obscure sci-fi movies. And even then, my stepfather ends up sleeping through most of these shows, so I can’t really say that any of us actively watches TV.
Out of the three people in my suite, I’m probably the one who uses the television the most. I like to have it on as white noise when I’m in the room, as a distraction when I’m doing homework, and occasionally have a show that I’ll watch live because I’m actually interested in it. But the type of shows that I watch on television are certainly not “quality” television – it’s usually an ABC Family drama like Chasing Life, a rerun of Friends _or _How I Met Your Mother, or whatever happens to be on HBO tonight. What I put on for background noise isn’t something I’m invested in. Again, TV is inactive.
If I’m watching something because I’m invested in it – television show, web show, web series, what have you – I’ll watch it on some other device. Normally that’s my computer, but it could also be my Kindle or my phone, depending on the location and whether I’m trying to multitask.  I watch a lot of things this way – some of them just regular televisions shows, but also old shows or webseries that I can bingewatch my way through. (If I had more room, I would write about bingewatching, since that’s a whole different subject that we didn’t get to talk about in class but I think is especially relevant in the conversation about television vs. Internet.) And better yet, I can watch them on my own time – not at the whim of TV guide everywhere.
I prefer these shows, especially YouTube series, because I’m a part of them. I financially support them by purchasing their merchandise or donating to the Kickstarter. I interact with the stars and producers. And overall, these shows are just better – they’re new and original and more in-tune with my life and my interests and they’re easy to share with other people.
People have long called the television an “idiot box” – and I don’t necessarily think they’re right in that description. But, like in Professor Russworm’s article, TV is not productive work or play – it’s just a constant presence that doesn’t do much for me anymore. On the other hand, the Internet is filled with new and exciting ideas, videos and series that I can invest it. Web series (or anything on the web, for that matter) are active and engaging places of media. They’re new media!


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You march down the hall into the kitchen, but the walk is kinda difficult, it is making you dizzy. You don't quite make it to the fridge before you start to feel naseous. You are going to puke, and you don't know if you can make it to the washroom.  HE ACTUALLY DID THE DISHES!).
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You don't know if you will make it to the washroom
Puking on the dishes would be a huge mess


Periyar National Park and Wildlife Sanctuary
About Periyar National Park and Wildlife Sanctuary:
- One of South India's most popular tourist attractions
- Periyar National Park and Wildlife Sanctuary is centered around a lake built by British engineers in 1895 for irrigation and to provide water to the city of Madurai.
- Established in 1934, this beautiful park is home to numerous species of mammals, including a large free-roaming Indian elephant population, wild boar, otters, the lion-tailed macaque, and more than 20 Bengal tigers.
- Bird watching is a popular activity with frequent sightings of species such as darters, storks, kingfishers, hornbills, and racket-tailed drongos, along with many interesting varieties of butterflies.
What to do in the Sanctuary:
- The best ways to enjoy the park's splendid mountain scenery are to take a lake cruise or guided jungle walk
- The latter allowing visitors a chance to come face to face with elephant herds and observe other wildlife from watchtowers and viewing platforms.
Hot Tip:
- Be sure to stop at one of the many nearby spice, tea, or coffee plantations for a tour.


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